B. De-man, S. Basu, P. Fitzgerald, D. Harrison, M. Iatrou et al., Inverse geometry ct : The next-generation ct architecture ?, 2007 IEEE Nuclear Science Symposium Conference Record, vol.4, pp.2715-2716, 2007.

Z. Yin, B. De-man, and J. Pack, Analytical cone-beam reconstruction using a multisource inverse geometry ct system, International Society for Optics and Photonics, vol.6510, p.651021, 2007.

J. Baek, B. De-man, D. Harrison, and N. J. Pelc, Raw data normalization for a multi source inverse geometry ct system, Optics Express, vol.23, issue.6, pp.7514-7526, 2015.

M. Iatrou, B. De-man, D. Beque, Z. Yin, K. Khare et al., 3d iterative full and half scan reconstruction in ct architectures with distributed sources, International Society for Optics and Photonics, vol.6913, p.691322, 2008.

D. Bequé, B. De-man, and M. Iatrou, Iterative reconstruction for multi-source inverse geometry ct : a feasibility study, International Society for Optics and Photonics, vol.6510, p.65105, 2007.

F. Momey, L. Denis, C. Burnier, É. Thiébaut, J. Becker et al., Spline driven : High accuracy projectors for tomographic reconstruction from few projections, IEEE Trans. Image Processing, vol.24, issue.12, pp.4715-4725, 2015.
URL : https://hal.archives-ouvertes.fr/hal-00990015

T. Pham, E. Soubies, A. Goy, J. Lim, F. Soulez et al., Versatile reconstruction framework for diffraction tomography with intensity measurements and multiple scattering, Optics express, vol.26, issue.3, pp.2749-2763, 2018.
URL : https://hal.archives-ouvertes.fr/insu-01690828

H. Gupta, K. H. Jin, H. Q. Nguyen, M. T. Mccann, and M. Unser, Cnn-based projected gradient descent for consistent ct image reconstruction, IEEE transactions on medical imaging, vol.37, issue.6, pp.1440-1453, 2018.

A. Beck and M. Teboulle, Fast gradient-based algorithms for constrained total variation image denoising and deblurring problems, IEEE Transactions on Image Processing, vol.18, issue.11, pp.2419-2434, 2009.

L. I. Rudin, S. Osher, and E. Fatemi, Nonlinear total variation based noise removal algorithms, Physica D : nonlinear phenomena, vol.60, issue.1-4, pp.259-268, 1992.

A. Chambolle, An algorithm for total variation minimization and applications, Journal of Mathematical imaging and vision, vol.20, issue.1-2, pp.89-97, 2004.

A. Beck and M. Teboulle, A fast iterative shrinkage-thresholding algorithm for linear inverse problems, SIAM journal on imaging sciences, vol.2, issue.1, pp.183-202, 2009.

I. Daubechies, M. Defrise, and C. De-mol, An iterative thresholding algorithm for linear inverse problems with a sparsity constraint, Communications on Pure and Applied Mathematics : A Journal Issued by the Courant Institute of Mathematical Sciences, vol.57, issue.11, pp.1413-1457, 2004.

J. Tabary, P. Hugonnard, and F. Mathy, Sindbad : a realistic multi-purpose and scalable x-ray simulation tool for ndt applications, Int. Symp. on DIR and CT, vol.1, pp.1-10, 2007.

F. Jolivet, C. Fournier, and A. Brambilla, A fast gradient-based algorithm for image reconstruction in inverse geometry ct architecture with sparse distributed sources, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, vol.11072, p.110721, 2019.

W. A. Kalender, R. Hebel, and J. Ebersberger, Reduction of ct artifacts caused by metallic implants, Radiology, vol.164, issue.2, pp.576-577, 1987.